Theses
2023
2022
Emil Bols | Machine Learning For Top Quark Physics | CMS | VUB |
Nadège Iovine | Searches for Dark Matter in the Centre of the Milky Way with the IceCube Neutrino Telescope | IceCube | ULB |
Pablo Correa | Merging Neutrino Astronomy with the Extreme Infrared Sky | IceCube | VUB |
Paul Coppin | Investigation of the precursor phase of gamma-ray bursts through gamma-ray and high-energy neutrino observations | IceCube | VUB |
Damien Delattre | Identification de processus de fusion de bosons vecteurs massifs au LHC | CMS | ULB |
Jethro Stoffels | Calibration and comissioning of the Radio Neutrino Observatory in Greenland (RNO-G) | IceCube | VUB |
2021
Lucas Weinber | Study of the Drell-Yan Process Associated with Multi Jet Production at the LHC | CMS | ULB |
Matthieu Duflot | Simulation Monte Carlo par le Programme Geant4 de Prototypes de Modules 2S du Trajectographe de l’Upgrade de l’Experience CMS du LHC | CMS | ULB |
Nordin Breugelmans | Probing the charm quark Yukawa coupling using machine learning algorithms | CMS | VUB |
Yarno Merckx | MODELING OF NEUTRINO PRODUCTION IN STARBURST-DRIVEN (ULTRA)-LUMINOUS INFRARED GALAXIES | IceCube | VUB |
2020
Ali Safa | Characterization of the new tracker sensors for the CMS experiment at CERN | CMS | ULB |
Zeb Van Ranst | Multi-Messenger studies of Gamma-Ray bursts | IceCube | VUB |